The server exposes a single tool 'search_1c_documentation' with a well-structured schema and reasonable descriptions. However, the implementation is incomplete: the tool definition is visible in the schema specification but critical implementation details are absent from the provided source code. The schema includes proper typing and enums for object_type filtering, which is good. Descriptions are present but relatively generic and could be more action-oriented for LLM selection. The server appears to be in early development (evident from incomplete Dockerfile and missing embedding_service.py implementation). Since this is a fastmcp HTTP server, protocol transport is correct, but the lack of visible tool implementation code and missing error handling patterns limit the overall quality score.

• Expand tool description to 150 - 250 chars explaining: (1) What it searches (1C Enterprise 8 configuration objects), (2) When to call it (when user asks about specific object types like Справочник or Документ), (3) What it returns (documentation snippets with object names, descriptions, and example usage). Current description is too terse for LLM selection.
• Document the complete output schema including field names, types, and descriptions. E.g., { results: [{ name: string, type: string, description: string, url?: string }], total_count: number, has_more: boolean }.
• Add constraints to the limit parameter: maximum 100, default 20. Include this in both the schema (via maxProperties) and the description.
• Implement error classification and recovery guidance: (a) If query is empty → return 'Query parameter required. Provide at least 1 - 50 characters.'; (b) If no matches found → return 'No documentation found for "XYZ". Available object types: Справочник, Документ, РегистрСведений, ...'; (c) If service is unavailable → return 'Documentation service temporarily unavailable. Retry in 30 seconds.'
• Ensure response includes all fields downstream tools might need. If a follow-up tool exists to fetch detailed documentation, include a reference_url or doc_id in each result so the agent can chain calls without extra lookup.
• Add examples to the enum values for object_type: instead of bare 'Справочник', add descriptions like 'Справочник (reference/master data list)' to help LLMs distinguish Russian-language enum values.

Inferred effective spec: 2025-06-18+.

• Relies on Logging (deprecated) - log to stderr or use OpenTelemetry